Talend Connect 2018: New Speakers Include AstraZeneca, Royal Caribbean & TD Bank

Annual Company Customer & Partner Conference Also Promises to Unveil New Solutions, Partner Offerings & Best Practices for Cloud & Big Data

Redwood City, CA and New York - April 12, 2018 -

Talend (NASDAQ: TLND), a global leader in cloud and big data integration solutions, today unveiled new additions to its line-up of keynote speakers, knowledge sessions and partner presentations at its annual user conference, Talend Connect 2018, taking place May 7-9 at the Marriott at the Brooklyn Bridge hotel, in New York.

Attendees will gain ‘front-line insights’ from Talend customers that have successfully navigated the waters of implementing enterprise-wide, data integration projects both on-premise and in the cloud. Talend cloud and big data technology partners, such as Amazon, Microsoft, Snowflake and MapR, will deliver prescriptive advice on best practices and solutions to help companies grow and thrive with the use of big data in a single, hybrid, multi or virtual cloud environment.

Confirmed customer speakers include: Simon Bradford, Senior Data & Analytics Engineer, AstraZeneca, Andre de Jong, Business Intelligence Engineer, AstraZeneca, Steve Brennan, VP, Data Strategy and Analytics, Carhartt, Pradeep Kumar, Big Data Architect, Lenovo, Abhi Bhatt, Director, Global Data & Analytics, McDonald’s Corporation, Christopher Schneider, Data Integration (ETL) Architect, McDonald’s Corporation, Sol Rashidi, Chief Data Officer, Royal Caribbean, and Joe DosSantos, VP, Enterprise Information Management, TD Bank.

Additionally, new hands-on tutorials and break-out sessions will outline reference architectures, tips, and real-world examples of how customers can:

  • Turbocharge Data Quality with Machine Learning: Traditional data quality approaches can’t keep up with massive volumes and types of data. In this session, attendees will learn how to leverage machine learning in the cloud to apply data quality practices across data pipelines, turn anyone into a data steward, reduce costs and extract deeper insights to fuel better decision-making.
  • Tackling Cloud Deployment with Containers: Session participants will learn how using containers can help dramatically reduce runtime costs and DevOps cycles while increasing business agility.
  • The Five Pillars of Success with GDPR: The deadline for enforcement of the General Data Protection Act (GDPR), May 25th, 2018, is quickly approaching. Is your company prepared? In this session, MapR and Talend will outline five pillars businesses can use to help ensure GDPR compliance.
  • Containerization Techniques for Amazon Web Services Platforms: Learn directly from Talend customer, Lenovo, how to set up a Function-as-a-Service running on AWS Lambda, built using Talend, with the ability to take input from a Kinesisstream and send the results of your job to another Kinesis Stream.

“Businesses are facing an increasing number of data management challenges within their IT environments, which are growing more complex with the rise of multi-cloud, varied sources and types of data, as well as looming regulations such as GDPR,” said Ashley Stirrup, CMO, Talend. “Talend Connect aims to share new solutions, insights and best practices that will help companies discover previously unknown opportunities, find new routes to market, and become innovative disruptors in their fields.”

Talend partners that are helping host Talend Connect include: Abilis Solutions, Agilite, Artha Solutions, Bitwise, Capgemini, Clarity Insights, Integress, Knowledgent, Microsoft, Snowflake Computing, Virtusa and Wavicle Data Solutions.

For more information and to register for Talend Connect 2018, please visit https://www.talend.com/connect2018usa/. Partners and end users interested in registering for Talend Training Day, which will be held on Monday, May 7, from 9:00 a.m. to 5:30 pm ET, can do so here. Interested parties can also tune in for live updates leading up to the event by following Talend on Twitter @Talend, Facebook and the hashtag #TalendConnect.

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